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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
computationally difficult
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "computationally difficult" is correct and usable in written English.
It can be used in contexts discussing problems or tasks that require significant computational resources or time to solve. Example: "The algorithm was designed to tackle problems that are computationally difficult, ensuring efficient processing even for large datasets."
✓ Grammatically correct
Science
Academia
News & Media
Alternative expressions(12)
computationally challenging
computationally intensive
computationally expensive
algorithmically complex
computationally prohibitive
resource-intensive computation
computationally problematic
computationally complex
computationally complicated
computationally costly
computationally intractable
computationally onerous
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
Unfortunately, these dynamical measures are computationally difficult to determine.
The shorter the piece, the more computationally difficult it is to sew them together.
News & Media
Drawing graphs as nodes connected by links is visually compelling but computationally difficult.
Academia
This problem is a computationally difficult one because of its inherent combinatorial nature.
DNA computation has the potential to tackle computationally difficult problems that have real-world implications.
Science
However, this formulation is computationally difficult to solve optimally using an exact approach.
We show that some problems of inferring functional dependencies (e.g., constructing an irredundant FD-cover) are computationally difficult.
Science
The empirical results indicate the success and potential of selection hyper-heuristics for solving this computationally difficult problem.
Science
However, analyzing any large dataset can be computationally difficult, particularly when newly developed methods for species tree estimation are used.
This optimization problem is computationally difficult because it involves variations of the inverse of the structural stiffness matrix.
As single computer systems approach the technological limits of their performance, computer scientists are turning to multiprocessing as a means of solving computationally difficult problems.
Expert writing Tips
Best practice
When describing computational problems, specify what makes the computation "computationally difficult". Is it the dataset size, algorithm complexity, or resource requirements?
Common error
Avoid simply stating that a problem is "computationally difficult" without providing context. Explain the specific constraints or challenges that contribute to the difficulty, such as the size of the dataset or the algorithm's time complexity.
Source & Trust
84%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "computationally difficult" functions as an adjective phrase, describing the characteristic of a problem or task that requires significant computational resources or time to solve. Ludwig provides ample examples of its use in diverse contexts, confirming its grammatical correctness.
Frequent in
Science
68%
Academia
20%
News & Media
7%
Less common in
Formal & Business
5%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
The phrase "computationally difficult" is a common and grammatically sound way to describe problems or tasks that require substantial computational resources or time. As shown by Ludwig, it is frequently used in scientific and academic contexts to highlight the challenges in solving complex problems. Alternative phrases, such as "computationally intensive" or "computationally expensive", can be used depending on the specific aspect you want to emphasize. When using "computationally difficult", be specific about what makes the computation difficult, and avoid overgeneralizations.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
computationally intensive
Emphasizes the high computational resources required.
computationally expensive
Highlights the high cost (in terms of time or resources) of computation.
computationally challenging
Focuses on the difficulty and complexity of the computational task.
algorithmically complex
Specifically refers to the complexity of the underlying algorithm.
computationally prohibitive
Indicates that the computation is too costly to be feasible.
resource-intensive computation
Highlights the significant resources required for the computation.
mathematically intractable
Suggests that a mathematical solution is impossible or impractical to obtain.
highly complex calculation
Focuses on the complexity of the specific calculation involved.
demanding computational task
Emphasizes the high demands placed on computational resources.
computationally unreasonable
Implies that the computational requirements are beyond practical limits.
FAQs
How can I use "computationally difficult" in a sentence?
You can use "computationally difficult" to describe problems that require significant computational resources. For example, "Factoring large numbers is a "computationally difficult" task."
What are some alternatives to saying "computationally difficult"?
Alternatives include "computationally intensive", "computationally expensive", or "computationally challenging" depending on the context.
Is it better to say "computationally difficult" or "computationally complex"?
Both are correct, but "computationally difficult" often implies that the problem requires significant resources to solve, while "computationally complex" focuses on the intricacy of the underlying algorithm.
Why are some problems considered "computationally difficult"?
Problems can be "computationally difficult" due to factors like the size of the input data, the complexity of the algorithm required to solve them, or limitations in available computing power.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
84%
Authority and reliability
4.5/5
Expert rating
Real-world application tested